The L&A Hub

Welcome to The L&A Hub — where innovation in life insurance and annuities gets put to the test. Host Paul Tyler sits down with leaders from carriers, distributors, partners, and startups to break down the experiments, decisions, and systems driving real change in the life insurance and annuity industry. Learn what worked, what didn’t, what they learned — and what’s next. New episodes weekly. The Life and Annuity Hub. Brought to you by Zinnia.

The L&A Hub is a business podcast hosted by Zinnia, with 24 episodes on record and a Required Pod Score of 80.

Zinnia hosts The L&A Hub, a business show with 24 episodes published.

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  The L&A Hub

  Dennis Martin - Why Life Insurance Still Has to Be Sold

  Sep 25, 202632 min

  Dennis Martin — President of Individual Life and Financial Services at OneAmerica Financial, an actuary in the industry since 1991 — argues that the trillion-dollar coverage gap is a need statistic, not a demand statistic: life insurance demand is generated by producers, and producers have been the scarcest resource for twenty years. He frames the pandemic as "the ultimate accelerator," separates going electronic from going truly digital (the data layer between legacy systems and the business), makes the demographic case for long-term care as a huge market with almost no competition and under 10% penetration, and holds that AI is fuel for the business rather than the business itself. Closes with career advice: bring your running shoes to work, walk the building, stay curious.

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  Episode #24

  Katherine Dease - Why should an Annuity Be Harder Than a Mutual Fund?

  Sep 11, 202631 minS1

  Katherine Dease has one mandate at the Insured Retirement Institute: modernize the annuity industry. She has spent her career on the vendor side of that problem, with product leadership roles at Ebix, now Zinnia, and Insurance Technologies. That experience is exactly why she stopped trying to solve it platform by platform. Her thesis: as long as every provider speaks its own dialect, integration stays expensive and annuities keep failing to show up in the tools advisors actually use. The proof point is paperless replacements. Athene, Jackson, Sammons, and Prudential went first, taking on the risk of going first with the DTCC and IRI , and took carrier-to-carrier replacement business from an average of 18 days to 24 hours, a 94% reduction in cycle time. Twelve carriers plus the DTCC are now live, more than 50,000 transactions have settled, and Katherine expects close to 30 carriers by year end. Advisors are calling their carriers to ask what just happened. She also unpacks the can-sell and training standards that cut NIGOs 40% at one carrier, what’s next in the book-of-business API work, and how a 48-hour hackathon put four solutions into production. If you want the playbook for changing an industry without waiting for consensus, this is it.

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  Episode #23

  Eric Sondergeld - We Develop Products in Reverse Order

  Aug 28, 202638 minS1

  Eric Sondergeld — Managing Director at Greenwald Research, an actuary (ASA, CFA) who ran market research at LIMRA for years before moving to custom research across life, annuities, and distribution — opens this episode with the human cost of getting customer experience wrong. When his mother died in 2019, the life carrier bounced his claim between departments, sent a checklist of documents with an envelope too small to hold them, and never once expressed condolences. When his father passed this year, the same carrier had learned to say "I'm sorry" — but still mailed a cryptic claim form and, this time, no envelope at all. From that story Eric builds his central argument: the industry develops products in reverse order, starting with the distribution it already has instead of the consumer it's supposed to serve, then stopping before it ever reaches the customer. Along the way he dismantles the idea of "best practices," explains why the industry's real superpower is copy-and-paste, names the third customer nobody designs for (the beneficiary), and gives a research veteran's clear-eyed read on synthetic respondents and AI moderation — where they help, and where "just because AI can, doesn't mean you should." A grounded, occasionally moving case that the next edge in L&A is experience and evidence, not another me-too product.

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  Episode #22

  Sean O'Donoghue - Your AI Strategy Is a Document — The Operating Model Is the Difference

  Aug 21, 202638 minS1

  Sean O'Donoghue — Chief Digital, AI & Technology Officer at Security Benefit and Eldridge Wealth Solutions — spent thirteen years in professional sports, media, and entertainment (DreamWorks, Madison Square Garden, Major League Soccer) before two stretches in insurance, and he brings a hard-won conviction from that world: every minute of attention has to be earned through experience, and the technology has to become invisible while you deliver it. In this episode he makes the case that most insurance AI stalls not on the technology but on the operating model — the difference between a document and a system where everyone already knows who decides, who builds, how it's governed, and how data flows without calling a meeting. He reframes straight-through processing as table stakes and names the real next battleground "the conversation around the button": surfacing the consequences of a transaction just in time, before a customer discovers them on a statement three months later. He moves employees from "human in the loop" to "human above the loop," revives Michael Hammer's business process reengineering for the AI era ("we don't need to do stupid things faster"), and insists governance is a framework, not a committee — with the advice boundary built into infrastructure, never left to a model in a prompt. Along the way: why he'd never rebuild what Zinnia does, and what an AI-native retirement carrier looks like three years out.

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  The L&A Hub

  Frank Chechel - The Robots Took All the Easy Cases

  Aug 7, 202643 min

  Frank Chechel — VP and Head of Individual Life Underwriting at Gen Re, and an actuary who "fell into" underwriting a decade ago when a boss asked him to build an underwriting R&D team — makes the case that after a hundred years, underwriting is only just scratching the surface. He and Paul trace how COVID flipped accelerated underwriting from a nice-to-have experiment into an overnight mandate, why wellness programs went quiet during the pandemic and are now roaring back, and how to think about AI in three distinct layers: predictive models, generative summarization, and the still-early agentic frontier. Frank is refreshingly blunt about the limits — a document summary that's 95% accurate is "a good way to get fired," and the same alcohol-related case put in front of five underwriters can produce five different answers. His through-line: the robots are taking the easy declines and clean preferred risks, which makes the human underwriter's job harder, not obsolete. The future underwriter lives in the gray zone and is fluent in data. Along the way — standing-room-only GLP-1 webinars, why bad data management hamstrings even the best data scientists, and Gen Re's own Claude pilot building a unified underwriting knowledge base.

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